Google has introduced Gemini 4 Carbon, a new artificial intelligence model designed to identify software vulnerabilities, generate security patches, and handle complex engineering tasks that can take days to complete.
The model achieved an 88.2% score on SEC-bench Pro, a cybersecurity benchmark that tests an AI system’s ability to identify vulnerabilities in real-world software. It also scored 71% on CWE-bench for fixing security flaws and 54.8% on ExploitGym for validating whether vulnerabilities can be exploited.
Google says the results place Carbon ahead of competing models across all three cybersecurity benchmarks.
The announcement comes just two weeks after the launch of Gemini 4 Argon, Google’s previous frontier model. Carbon builds on that release with improvements in coding, reasoning, cybersecurity, and autonomous task execution.
Unlike conventional AI assistants that respond to individual prompts, Carbon is designed to carry out extended workflows involving multiple steps, tools, and decisions.
Google said its internal teams have observed the model working for days on complex engineering problems, including identifying the causes of software bugs and developing patches across large codebases.
However, these extended operations were reported by Google and have not been independently verified.
Carbon’s cybersecurity capabilities cover three major stages of software security: finding vulnerabilities, determining whether they pose a genuine risk, and developing fixes.
On SEC-bench Pro, the model achieved 88.2%, while its 54.8% ExploitGym score reflects its ability to validate security vulnerabilities through controlled exploitation tests.
Introducing Gemini 4 Carbon, our latest frontier model. 0 of the @ArtificialAnlys Intelligence Index and sets a new state-of-the-art in cybersecurity and long-horizon capabilities.
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